Data-Driven Variational Multiscale Reduced Order Modeling of Turbulent Flows

Data-Driven Variational Multiscale Reduced Order Modeling of Turbulent Flows

In this dissertation, we consider two different strategies for improving the projection-based reduced order model (ROM) accuracy: (I) adding closure terms to the standard ROM; and (II) using Lagrangian data to improve the ROM basis. Following strategy (I), we propose a new data-driven reduced orde...

Full description

Bibliographic Details
Main Author: Mou, Changhong
Other Authors: Mathematics
Format: Others
Published: Virginia Tech 2021
Subjects:
Reduced Order Models
Closure Modeling
Variational Multiscale
Geophysical Fluids
Turbulence
Eddy Viscosity
Finite Time Lyapunov Exponent
Proper Orthogonal Decomposition
Data-Driven Modeling
Online Access:http://hdl.handle.net/10919/103895

Internet

http://hdl.handle.net/10919/103895

Similar Items